Genetic Algorithms Component Library
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RiverSoftAVG Genetic Algorithms Component Library

The Genetic Algorithms Component Library (GACL) is a powerful genetic algorithms solution for Delphi Win32 and Win64!   Designed for Delphi 2009-XE2 (Win32/Win64), the GACL provides simple yet powerful components for designing, evolving, and using genetic algorithms.

Genetic algorithms are computer science techniques that seek to solve optimization or search problems. They are inspired by evolutionary biology and approach the search problem as a task of evolving a group or population of candidate individuals through successive generations, selecting fitter (or better) child individuals for each generation, until a solution is found. It uses evolutionary biology techniques such as inheritance, mutation, selection, and crossover (also called recombination).

Key Benefits
bullet 100% Source Code
bullet For Win32 and Win64
bullet Unlimited Chromosome size with helper “gene” classes to read and write arbitrarily-sized integers, enumerations, and floating point numbers to the bits of the chromosome
bullet Unlimited Population
bullet 3 Genetic Operations (crossover, mutation, and inversion)
bullet 6 selection methods (Roulette, Random, Tournament, Stochastic Tournament, Elitist, or Custom)
bullet Read and write your Genetic Solutions as XML
bullet Control every aspect of the evolution of your population including fitness evaluation and cutoff and diversity limits
bullet Includes an experimental Genetic Programming component

See the GACL Version History page for full details on what has changed.

For Delphi 2009-XE2 (Win32/Win64) (GACL v1.x available for Delphi 6-2007 Win32 and VCL.NET)

Demos

Check out the evaluation demo on the Downloads page.

The demo has the following limitations:
bullet When Delphi is not running, applications compiled with the GACL will display a nag screen

*** The DEMO version is for EVALUATION PURPOSES ONLY ***

Demo applications using the GACL are also available on the Downloads page.

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Last modified: September 20, 2010